An optimized RBF neural network algorithm based on partial least squares and genetic algorithm for classification of small sample

In order to verify the reliability of the PLS-GA-RBF algorithm, multiple instances is used to validate and analysis. In this paper, four different experiments are arranged; among them are three small sample test and one large sample test. The purpose of the arrangement large sample test is to compare of validation. The result is satisfactory, which means the new algorithm has unique superiority in dealing with the small sample.